Berry V2 7B by jeiku

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/jeiku/Berry_v2_7B 

Berry V2 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Berry V2 7B Parameters and Internals

Additional Notes 
This model is a merge using LazyMergekit methodology.
Training Details 
Methodology:
LazyMergekit
LLM NameBerry V2 7B
Repository ๐Ÿค—https://huggingface.co/jeiku/Berry_v2_7B 
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-06-09
Maintainerjeiku
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Berry V2 7B (jeiku/Berry_v2_7B)

Best Alternatives to Berry V2 7B

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB1204830329
Qwen2.5 7B RRP 1M986K / 15.2 GB4476
Hush Qwen2.5 7B Preview986K / 15.2 GB850
Hush Qwen2.5 7B V1.1986K / 15.2 GB141
Hush Qwen2.5 7B V1.2986K / 15.2 GB121
Hush Qwen2.5 7B V1.4986K / 15.2 GB131
Hush Qwen2.5 7B V1.3986K / 15.2 GB142
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB142
Qwen2.5 7B Preview986K / 15.2 GB110
Qwen 2.5 7B Exp Sce986K / 15.2 GB122
Note: green Score (e.g. "73.2") means that the model is better than jeiku/Berry_v2_7B.

Rank the Berry V2 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124